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VisionWave Announces Strategic Collaboration with PVML to Advance Secure, Real-Time AI for Mission-Critical Operations
Prnewswire· 2025-10-08 12:30
Core Insights - VisionWave Holdings, Inc. has announced a strategic collaboration with PVML to enhance defense capabilities through secure, real-time intelligence systems [1][4] - The partnership aims to integrate VisionWave's radar and AI-driven computer vision systems with PVML's secure data-AI infrastructure, enabling the development of autonomous AI agents for mission planning and execution [2][3] Collaboration Details - The collaboration will focus on creating a secure foundation for autonomous systems that utilize live mission data while maintaining security and confidentiality [1][3] - Early projects indicate that development cycles can be reduced by up to 70% due to the ability to connect to previously inaccessible data sources [3] Future Initiatives - Joint initiatives are set to begin in 2026, targeting advancements in secure intelligence capabilities for defense and homeland security [4] - VisionWave and PVML plan to introduce a Secure Intelligence Platform and expand its applications into high-security and international domains over time [4] Technology Integration - The collaboration will leverage VisionWave's edge-deployed radar and computer vision systems to combine intelligence and operational data through PVML's secure infrastructure [8] - AI agents will continuously analyze mission data to ensure alignment with objectives and rapid response to changing conditions [8] Security Focus - The system is designed to enforce continuous, policy-based governance across data access and model interactions, ensuring precision and trust throughout the mission lifecycle [8]
X @Ethereum
Ethereum· 2025-08-06 16:33
Core Idea - Proposes building a decentralized labor revolution using autonomous AI agents on Ethereum [2] - Envisions a future where digital labor is performed by AI agents earning crypto and sharing revenue [2] - Suggests a marketplace for discovering, comparing, and utilizing AI agents for various tasks [6] Technological Foundation - AI agents would operate as micro-businesses with specialized logic, wallets, and smart contracts [3] - Ethereum would provide the foundation for transparent logic, onchain ownership, DAO governance, composability, and programmable money [8][11] - Agents could be protocol-native, paying gas, staking to compete, and interacting directly with protocols [9] Potential Applications - Examples include AI agents for fetching token updates, processing raw CSVs, and generating outreach [4] - Users would pay with ETH/stablecoin, with payouts logged onchain and split between creators and infrastructure [5] - Creators could launch their own AI agents, set pricing, earn passively, and own via NFT or DAO [7]